A reversible and secure patient information hiding system for IoT driven e-health
作者：
Highlights：
• A framework for data security in mobile cloud platform developed.
• Optimal Pixel Repetition based cover image generation instead of conventional interpolation, used, to achieve reversibility.
• Pixel permutation is used to embed data and ensures histogram invariance between cover and stego-images.
• Blind data extraction i.e., for the extraction of EPR from the stego-image, the original image is not required.
• High embedding capacity of about 1.25 bpp is achieved.
摘要
•A framework for data security in mobile cloud platform developed.•Optimal Pixel Repetition based cover image generation instead of conventional interpolation, used, to achieve reversibility.•Pixel permutation is used to embed data and ensures histogram invariance between cover and stego-images.•Blind data extraction i.e., for the extraction of EPR from the stego-image, the original image is not required.•High embedding capacity of about 1.25 bpp is achieved.
论文关键词：Steganography,Multimedia data management,Internet of things,Data hiding,e-healthcare,Reversibility,Payload,Cloud-assisted multimedia,Security
论文评审过程：Received 14 March 2018, Revised 14 September 2018, Accepted 17 September 2018, Available online 11 October 2018, Version of Record 13 March 2019.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2018.09.008
